{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "PIL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "from PIL import Image\n",
    "\n",
    "img=Image.open('1.png')\n",
    "img.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x16c7071d5c0>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt \n",
    "import numpy as np \n",
    "f = open('1.png', mode='rb') \n",
    "x = np.fromfile(f, dtype=np.ubyte) #x = x[0:1920]\n",
    "x = x[1920:3840] #x = x[3840:5760]\n",
    "x = x.reshape(60,32) #print((x))\n",
    "plt.imshow(x) \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 字节流 图片处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'numpy.ndarray'> ============= <class 'numpy.ndarray'>\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import io\n",
    "from PIL import Image \n",
    "import matplotlib.pyplot as plt\n",
    "import cv2\n",
    "import numpy as np\n",
    "with open('1.png', mode='rb') as im:\n",
    "    img=im.read()\n",
    "    \n",
    "#bstream #point**********\n",
    "image=Image.open(io.BytesIO(img)) # 重点1 读取io流 重点2 转np\n",
    "#cvim=cv2.imread(image)\n",
    "data2=np.array(image)\n",
    "#plt.imshow(image)\n",
    "plt.imshow(image)\n",
    "\n",
    "data1=cv2.imread(\"1.png\")\n",
    "\n",
    "print(type(data1),\"=============\",type(data2))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 图片处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'PIL.Image.Image'>\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x16c708cc198>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Mzc0xdepUEBEiIiL4j+/777/Hd9+pZ55mzJiB8+fPaz0lQ0JCsGnTJnh6egIApkyZgmXLlmnJPHr0CJmZmfD09MSpU6eQnZ2N/fv3a+nh6enJ2TMnTpzA8+fPuVMtJycHAPD48WP8/PPPANRGfP78+SAiyOVyTvds0qQJoqOjkZ6eDicnJ3z77bcA/vcDBYBHjx5x47RkyRJcvHgRAQEBOH36NHx8fABAh1Yo9j/97wtMC6J83759MWPGDHTp0gXu7u64ffs2AODQoUOYOnUq7OzsoFAoMGnSJHh5eWHnzp3w9/eHj48Prl27hqysLPj7+2PatGlo1aoVHj9+jPDwcPzyyy/4+OOPMXnyZHTo0AEhISH4/fff4eXlhUePHiEyMhKpqalITU1FdHQ0vvnmG2zYsAHu7u5YsGABAgMD0aVLF9y8eRPjxo3D9OnTcefOHaxatQru7u58LMyYMQNNmjRB27ZtMXnyZLz//vu4ffs2jh49isuXL2Pu3Ll82mvlypVwd3cv19CX1V/i1OKFCxeQn5+PKVOmICgoCEFBQcjPz8f69euhUqkQGBiIBQsWwN3dHR06dKiwHrEuS0tLMMawdu1aTJkyBWZmZvjoo49w/PhxPHz4EAUFBbwdNjY2Buu+b98+zJs3D7179wagfpArlUoMHjwY06dPR05ODnbt2oWZM2fCy8sLXbp0QevWreHs7IyUlBS0a9cOCQkJ8Pb2xsyZMxEeHo6goCAEBgYiMTERKpUKFy5cwKFDhzB79mxMnz4dRITbt2/j3r17SEhIAABMmzYNVlZW8PLywty5c3X6dtmyZahTpw6++eYb7Ny5EzVq1MCZM2ewatUqbNu2Dbt27cL8+fPh7++PR48eYebMmZg6dSpq1aqFI0eO4Pz581izZg1mzJiBtm3b4vHjx2CMwc/Pr8x78G/HK2fd/CUljKybfxX+C6ybyuLvZOmIX2N/pT4jS8cITfxjrJuqBOMA14/K9st/oR9fpg1/Z38Zcm1lyv8v3DsjKkaVmboBgGPHjuHkyZMAgN27d2P79u0wNzfHrl278OOPP8LExARHjx5FRkZGhWWJbBEAmDRpEvbs2QMAWLp0KQ4dOgQAaNCgAZKT1Wu9JBIJvvzyS50y6tSpUy7rhjGGsWPHcobA3r17dXT59ddfMXHiRC7/448/6sgEBQWhadOm3KdgZmamI3Pv3j0MHjwYjDH06dMH58+f19FFIpFg7dq1AICTJ09CKpXi0qVLkEgkGDVq1F9i3UgkEjx//lznuCHXihg8eDAWLFgAHx8f7iOpLIgIXbt2NZhFosk6Eedz9clIJBL8/vvvWsetrKwQHR1dbvmhoaHYvHkzAPXYuHLlCiZMmIBt27ZBIpFgyJAhkEgkcHNzg1KprFS/Z2Vlwd7eHmfOnNE6LpFIsHv3bjDGMH78eNy5c6fccipznxhjsLCwgK+vL/bt22ewrkb886hShn706NF8rjIrKws5OTkoKirCtGnTUKdOHZSUlGDMmDFISUkxqLzwcHVAzX379sHLywuMMYwbNw5yuRyMMVy8eBGFhYVc/uHDh1p0LyLijjrx/759++rINGrUCIDaEInzjJoYNmwYateuzWVkMhkANcVr1qxZAIBWrVohNzcXAODr64uioiLk5eVh3bp1WLx4MRhjePbsGby9vUFE8Pf3x4kTJ7TqISIIgoDFixcDAD777DO4uLjg3XffRXZ2Njw8PGBqaoqDBw/q6Fia5qaJw4cPw8nJCUuWLAFjDDExMfyBA6gpo2JfZ2RkQCaToaSkBP369QNjDAUFBTh79iw2bNiA4cOHY+/evbh48SKvT5RbuHAhsrOzsWTJEhQVFcHd3V1HRh8FtjzdJ0yYwN9qBUHgZQUHByMiIgIFBQUgInz00UfYvHkzl7lx4wby8/PLrScvLw9z587F/fv3IQgC+vXrh02bNmHWrFn49ddfsWbNGlhbWyMmJgZmZmbYtWuXwbr7+PggMzMTH374IfLz8zkpgYiQkpICIsLBgwe5j0ezvFWrVmHChAlgjGHLli1ahvyTTz4BY2qa8Zw5c8AY4w+OFStWcKfppEmTkJqair1793KfkkgVtbOzg7+/P3/oXr58Gd9//z0YY9xvY8Tfiypl6P38/NCwYUMAwOLFi7FixQr+I+jfvz8YYzh79izatWtncJmMMRw6dIh74+Pi4ngoAIlEAhMTE26wN27cqHNt6bcwzRAJooz45aDJcS4NTRlxXyqV8jdCqVSKp0/Vq52fPHkCiUTCOc2rV68GoI79UVRUxH90otNX9EeI5YvHioqK+Jvqnj170LZtW4P7TR9Ex7VKpdIygoWFhXB2dgZjDNnZ2ahfvz5MTEy4ERVjp4jMoPHjx8PJyYk/ZD/55BMA6oedGA5CjCMkyly5cuWldAf+x6AaPnw4bGxsIJVKtR70c+fOhVQq1WF6VITGjRuDMQaFQsH7PykpCUqlEnl5eVCpVJXW9ebNm2CMQalU8rdrcSxqjkl93O+lS5di2LBhANSOeqVSieLiYgDqlylR55ycHP5VkJeXh6CgIADqeDcA4OzsDFNTUxw9ehTA/xhnmZmZ6NOnD//qfPbsGf/d9uzZs9JtNeLlUaWcsSKlrqCggFMQCwsLYWJigpKSEh7wTKVSoaioqMz6xFg3P//8sxalUNMglrevobfOtaX7s6xP47LKKX1eLNMQvcoqR1Ov0vulZYgInp6e/OFRERhjWLJkCZYvX85prWXpbkj79OmuD0lJSfj555/5W6QoP3PmTGzfvt2guWfGGEaOHInjx49XKFu6r/fv34+OHTuW+3C8e/cuGjduDAcHB739rglBEDB//nx4eXlVqItmGYb0XVljUlPm7NmzfFq0Ihw4cMAgOQCQyWQIDw/He++9p6WbEa8Ghjpjq5Shf1UQWTdGGPH/EYGBgXr9ERWha9eumDp16mvQyIi/CiPrxggjjOC4evUqfvrpp798vbOzs9HIV2FUmTl6xhiuXr2Kq1evQiKR4NatWwgKCoKFhQVCQkLg5+cHhUKBS5cu4cGDBwaVN3PmTDDGMHz4cLi5uYExhiFDhnCn4qhRoxAXFwfGGDZv3sznNUXEx8dj9OjR/PN369atiImJ0ZKJjY3F9OnTuSNKXIGriUmTJmHatGkA1HPNmtMmYtnDhg3DxIkTwRhDmzZt8O233+o46saPH4/3338fjDGMGDGCx8/RLGvDhg38B9u7d298//33OHr0KLZu3YoxY8ZAEAS+ytgQMMbw4YcfasUeYYxh586dWn6B0vuMMWzdupXvjx49Gr169cL9+/e5c7G0vL5yNPsIAEaNGlXmdI8+3Xv27MnLioyM1KlHpVLh4MGDiI2N1To+Y8YMBAcHl1t+QEAAgoODeb+7urrixo0b2LVrFwYNGoQFCxYgKyuLhyvetm0bPv/8c6SlpfFYOH8FkZGRmDBhgtZWkZFv1qwZhgwZgtGjR2P16tX48ccfOftrxYoVBk/lGfHvRJV5oyci9OvXDzKZDESExMREmJmZoX379mjTpg1kMhksLS3RunVrpKenG1SmuLLRx8eHx1/fvHkzd+ytWrWKT/EcPnwYtWrV0jIiDRs2xIoVKwCojcbs2bPxwQcf4OzZs1zG1dUVjo7qvAA9e/bUu7pu3759+PrrrwEA/fr148wEQRAwc+ZM7NixA8ePH8ebb74JQE37XLZsGYqKirBx40ZkZ2dj/fr1GDVqFDp1Un/FnTx5El999ZVOH3711Ve8Tfb29nj69Ck8PDygVCrRqVMnSCQSjBgxQkfH0v4ITYwePRoWFhb49ttv8f7778PBwQE//PADnJycMHz4cPz2229ITU3FtGnT4O3tjaKiIkycOBE//PAD6tSpgw8//BDHjh3j5U2YMAFWVlbYsWMHbt68iZ07d2LXrl34/PPP8e6778LJyQlyuRz79u3DrVu3cPv2bdy6dQtfffUVX95vqO5dunQBESE6OhqXL1+Gq6srOnXqhCFDhmDq1Km4fv06rK2t4erqii+//BJvvvkmxo0bp8XWKaseIuJz+EePHkVsbCwUCgXc3d0REhKCM2fO4O7du+jYsSMGDRqErl27wsfHB05OTvw+GtoOzekY8YEkyjRr1gyurq5o0qQJ2rRpo1NuWTh06JBeqq8RVQ9VxtAzxvDHH3/gvffeQ1FREYYNG4asrCwwps4GNHToUKSkpMDa2hpBQUFo1aqVweV27NgRgYGBICIEBQUhPj4eAFCtWjXuAA4MDNQb60KMGyNCn5EUM+mI+/qctuJxTXnGGKdment7Y/JkdUKuM2fOQBAEmJubo27dulw+KioKwcHBWLRoEQYNGgRfX18QEfbs2YMvvvgCJiYmyMnJ4clG1q1bx7M5rVu3DkuXLn0p30Xz5s3RuXNnxMbGwtraGsOHD4dcLsdHH33E3ygHDRqE2rVrg4hgYWGBOnXqQKlU4s6dO4iJicGgQYOwZcsWpKSkIC0tDb169cKIESNga2uL8ePHY8iQIZg/fz42btzIv9x69OiBHj16vJTujRs3xp07d2BmZoaFCxfi7bffhiAI+Oijj/gYWLNmDRwdHStdj1KpxMOHD9GnTx9cu3YNISEhCAsLQ7Vq1dCtWzeMGzeOhyLw9PTU+XI0BB07dnzlRlmMrWRE1UeVcsZWxIIRZSpqk8i6KS37T7Nu9NXzV1g3+vb19Yk+GaVSCQsLC051rAji22NSUhJPX2eo7pVpn756c3NzYWNjozXN8sYbb/CvPkN1N3S1qaZeEokEjx8/RuvWrcu85t69ezh//jyfrtPXntLHxDUQgwYNQl5eXoV6GfH/G/9JZ2xpo1yRTEVliZshdegrt7xrK6NPefWI/xuiV2V0L0vGzMxMb7+Up3tFffmq2qevXk0ZiUSCxMTElx4D5cnrq78sdOnShU8N6SujrGO9e/c2GnkjXimqjDMWAE+YAKgXEGnuG5JspDQM/YEb6tz7qzD0K0Dz/OuUKeurpawyDMGr1rese1dROaXPl/WlY0i7XrZNpR2/f1XGEB01ry/LqV1aXt81ZTnBDXGYV0bGiFeLKmXof/nlFxw/fhyMqePB/PTTT7CwsMCRI0fg7e0NQP35Lq5y/adg6LSHPvmioiI+L18W3n33XZ1VuppgTJ1pqbxsRIypM/FMmTKlXJn9+/eX+8M7c+YM6tWrp7WCtDRCQ0NRq1atMuOfM8ZQr149dOjQodyprp49e1YYY8XFxaVcmcaNG+uNEyRCXM7v6OiIZ8+elalvx44d0bJlyzLjKimVSlSvXp2zo/Tho48+QrNmzWBnZ1emPj4+PnBzc0PHjh0rbQAfPXrEE5+vWLECOTk5YIyhU6dOmD17Nhhj+OCDD7gTNykpiWcoc3Nz4xmubt68ibp162LatGlo0KABD59Qv359vqrXxcUFx48fx8SJE1G7dm0wxngcn7t378Lb2xtvvPEG1q1bB4lEAldXV27URcZbo0aN0LRp05deoW2ELqqUoR89ejScnZ1BRHB2doaVlRUKCwsxevRoNG3aFHK5HH5+fgYFNXudKG9Vrj6IS8oBNW0vOjq63B/1hQsX+JJ1fRCdyqUdxaVlunfvXu5D6csvvwQR8cBu+tCgQQM0b96cJ7XQhyFDhqBz584wNzcvUxeZTIYVK1aUO1UjlUq5Y1QflEolPDw8sG3btjJlvvnmG60l/6VRq1YtTJw4EW3atEFaWppemZSUFAQGBiI0NBQODg56ZczMzHDo0CGMHDlSb3wjURepVFpuELdhw4bB0tKSkwUMBWPqcCCiw3rZsmUQBAFEhAcPHsDa2hpEhPnz5/MkG97e3jx0RYsWLSAIAp4/f47PP/8cH374IX744QfEx8dzp6/48FEoFPDw8MCyZcuwY8cOpKSkQCaTYe3atWjbti2ys7Ph4uKC+Ph4eHh44L333kNMTAwGDhyIlStX4p133gERYfny5TwPgRGvFlXK0F+5cgV9+vSBRCJB3759MWDAADCmjvfx5ptvolq1ahgxYgR3Cv5TqEwUwtLy3bp1q/DNTSKR6E0OIoIxdcRMDw+PMmVUKhVOnjypl44oYt++fZg4cWK5/Xnz5k2cO3cO586dK1Omc+fOOHv2bLlv/YKe+8YGAAAgAElEQVQg6A1IJiI+Ph4HDx4s9yFuZmYGd3f3cjNlXb9+HXPmzCl3rUXPnj1x5coVXL58We/5WrVq8WBh5bXJxsYGR44cQc2aNfWeNzExQVhYGA+MVxb+aiYrBwcHTjVmTJ1vlzF14LLVq1eDMYYOHTrwKJzLly/nFN7Tp09jwoQJsLa2xqhRo9C4cWMA0HpA/v7779i5cycsLS15v69ZswZz5szB2LFjYWdnBx8fH/j5+eHq1av84SOGyvDw8IC9vT327NmD4uJimJiYwMfHx7hq/TWgSrFuxAEiDgpAnRpPkznBmDoomJg+TB8qGwLBUGaGiIKCgnLfPEtDLpdrvX1XVJ8h89QiXqacytT1KuqpqI9fpb5lyehjxfxTuhhajyH1v8r90owpfW0pbwrOkHqMMAz/SdaN5tuEpiEvzWooz8j/HShriqIsaOaUBSoe6C97vjJyr6Kuf5PMf7HvDLn279zX939l9TLi1aJKTd38U6jsAKwsA6gyycyNMMIIIyqLKmPoGWP4888/ERERAalUitzcXFhaWsLc3BxWVlYIDQ2FIAgICQnRG4O7NEaOHMkTKjg7O2P8+PFgTB3Xft68eXw+UTMey4QJE/iq3AULFuDp06fw9/fH5s2bucypU6dQUFAAxhjCw8Nx+fJlrFu3rlI0RFFWTHJR+lrNY9u3b9dbdmFhIVatWqUjX7ocd3d3PHv2DIwxrFmzRuv84cOHwRjDvXv3cP/+fb2JMfbu3YuoqCg8fPgQQ4YM0RsV8aOPPuIxX37//XfcunVLR5+xY8di0aJFYIzh/v37PLG5iLy8PEyfPh2enp6IiYlBREQEduzYoSUjskqWLVuGJ0+egDGmo/PcuXPBGENiYiKaNGmit2+mTp2KEydOICUlBY0aNeKxijSxe/duHDp0iLNPSmcfA4AjR45g/fr1vI5ffvlF67xMJgNjDBs3bkRgYCAYYzrJYp4+fcodnvfu3eN9+FfBGNNJqG3Efx9VxtATEZo1awbGGFQqFQ4cOICVK1eiqKgICoUCqampYIzh+vXruHbtWoXl9evXD6NGjQKgjkOybNkyAMCOHTvg6uoKQO2UGzt2LL/Gw8MDWVlZWL9+PWrXro179+6hffv2Wunctm3bxtkat27dQr9+/VBQUGBwOwMCAvgUVVkPh4yMDJ5tqvS0j3jdhAkTUFBQgBs3bsDX1xdNmzbVYgOJtLiePXvy7E9hYWFa5Tx69AiAmkLZuXNnXqcmoqOj4eLigosXL+LUqVM6MoypA3o1bdoUADB06FAcOXJEh6v/7bff8oQvzZs3x4wZM7Tan5qaikWLFkEqlcLf3x9vvPGGDvVTzMxVWFjI4xWVZuCIq6LDwsKwYcMGvX3XvHlzDBgwAE+ePMGOHTv42NCU+fjjjzn90Nvbm8c80pTp378/7t+/z4+VDgwmJvK4fv06j/VTmjYrXp+Tk4MjR44AALZs2aKjt6EgokqNRyP+G6gyhp4xBj8/Pzg4OMDExAQffPAB3nnnHQBAcnIyBg0ahOzsbPTo0cOgjD3VqlXjPzxfX1/MmzcPgNroi3S4Cxcu8DfLoKAgeHp6olatWjh27BiysrIwePBgXLx4EV988QUANTti9erVcHFxQVhYGN5//31kZ2cjMTHRYMrYvHnz4O3tDZVKhaCgIAQHB2sZT8YYsrKysH//fgiCgMDAQP62LIKIcOTIETx//hwODg6Ij4+Hm5ubFo1TKpUiNDQUt2/fRq9evRAWFqaT/Wfq1KkIDQ3F559/Drlcjvj4eB2Wybhx43Ds2DGMHDkS4eHhSEhI0OLLExGOHTuGw4cPc4fbggULtMogIpw4cYJfd/nyZXz99ddaD4NGjRrh5MmTMDc3x6effopr167B09NTS6ZZs2YICwtDzZo1MW7cOISHh/P8uCLatGmDsLAwdOrUCWFhYfwhp6mLq6srNm3ahDZt2uDevXuYMWOGjszZs2exfv16AMCNGzcwffp0HRk/Pz+ecCMgIEDnC6R///4ICwvDsGHDsHTpUgQGBuokHvnwww8RFhYGe3t7rFy5EgEBATptKgtExF9UiouLcfv2bSgUCqSkpODq1au4cuUKduzYwe9pu3bteEROOzs7Pu7Wr1/P7434FQRox3CSSCT8BcXCwoLLiCQDlUrFpzSVSiXPKgaAh5FQqVTYuXOnQW0zonKoUqybVwVj4hEjjDDivwBDWTdV5o3eCCOMMMKIv4YqZejNzMz48nVzc3NOY7SwsNCiNBpCb9QXY+NV7GuWr2/fEOgr2xDdX5dMee34u3WpSKY8/f9pfcvSzxCZstpjhBGGoMoYesa0M0zdvXsXYWFhsLCwQEREBPz8/MAYw4MHD3TmXfVh6dKlmDZtGhhj6NGjBwYNGgTG1LE/RPbH0qVL8eWXX3Kmw9ChQ1FSUoKhQ4di2bJlyMzMxMqVK+Hj4wPGGHx9fRESEoLi4mKcO3cOz549w6VLl3D69GkdxkVZePLkCQ4ePAjGGPbu3YvFixfrrAbt1KkT9u3bB8YYJk+erDPnzZg6c9L06dORn58Pd3d3vYyZc+fOYfbs2cjLy4Ovry/279+vdd7f3x/nzp3D06dPkZubq3d164ULF7B+/XrIZDJMmzYN8+fP16ln6NChWLNmDRhjmDVrFsaPH68jM3LkSB4XZu3atfjss8+0ziuVSnz22WdYu3Yt0tPTsXHjRr2rcUsbzpYtW2qd3759O3x9fZGdnY3PPvsMp0+f1jGeGzduxLx585Cbm4uBAwfysaGJefPm8Qxl77zzDgYMGKCjy8KFC/m9PHbsGB4+fKh1Pjs7G76+vjhy5AhkMhl+++037gAXkZWVBV9fX5SUlCAhIQHHjh1DSEiITl1GGFEuSoeZLb0B2A/gOYBQjWP2AC4BiHrx1+7FcQZgK4BoAMEAOlRU/ovrSNxWr15NAQEBFBgYSEqlkkaMGEEymYxkMhk9e/aMtmzZQjKZjEJDQ+nGjRuUlJRESUlJdP78eYqOjqZVq1bRiRMn+DX6NiKiPXv2UGZmJhERXb9+naKjo4mIKCoqirZt20ZERJmZmZSRkUEiwsLCKCUlhWJiYuj777+nY8eOUU5ODr399ttc5p133qG4uDgiItq9ezcJgkC9e/emgoICEgShwu2LL74glUpFRERr164luVxOPj4+WjLBwcFcJjk5mXJycoiI+HlR15MnT9KtW7coNTWVvvjiCy2Z4uJiIiL6+eef6erVq0RE9Omnn2rVM3/+fCIi8vT0JD8/PyIiCg0N1ZLx8PAghUJBq1evJkEQaNWqVVrniYhiYmJIoVAQEdGhQ4coPT1dR9+4uDhatWoVERHJ5XJKS0vTknny5AklJCTQkiVLaN++fZSfn0/t27fXkikpKSEbGxsaMmQILVq0iIiIWrRooaXPhg0biIjo3LlzRETk5uamo+/mzZspJyeHrl27Rn5+fpScnKyj7/Pnzyk7O5uIiC5dukSJiYk65WRkZNCwYcP42GjZsqWWzKlTp4iIaNCgQfTVV18REVGXLl20ZE6cOMHv86xZs4iIqHfv3gaNJeP2398APCjPtoqbIW/0BwCUfl1ZBOAKETUGcOXF/wDwPoDGL7bJAF6ZC50xBn9/f4wfPx4mJiawsrLinvvc3Fx07NgRVlZWqF27Ns+gVB5sbGx4Wr/bt29zh29QUBBn3SgUCpw6dYpfs3PnTtjb2yM0NBRpaWno3bs3ioqK0L9/fy7z5ZdfwtnZGQDQtWtX+Pr64vr161osg/IgcvgBNRvh8ePHOm+lV69e5c5kmUyG+/fv6ziX/f39cfPmTbRs2RLPnj2Di4uLlozIgAgMDES7du0AqFkrmhg+fDgANTukc+fOANRxXjQxePBgPH/+HH369AFjDPb29joMoNDQUE59FAQBx48f11kRGRkZyQNqCYLAWToi6tati6ioKBARBg4cCIlEgjFjxmjJHDx4EDk5ObC2tkZgYCAA6KySFmO2iFESo6KitM4TEVxcXHDr1i00atQIEREROnRGIkJGRgaPURMUFKRDiyQiZGdno3379vxYaf569+7dAagzZIlRREuzd3r37g1AzRIT2T9iprGKQEScTVZSUsK/KAoLCyGXywEAP/30E2fUDBw4EJGRkQCA2rVr85j4u3fv5jK9e/fm91dzLFSvXp2zbqytrbmMk5MTAPU9FRk4xcXFWrGaxK8hlUrFKaRGvFoYxLphjDUAcJaIWr34/08AfYgohTHmDOA6ETVljO1+sX+0tFwF5f/rWTeMlZ2lSTxuyP7L1FVZmcrUU9n2/V16VVZGNDBE5WfWEs+Lsq8bL9O/LzOWjPhv43WzbmqJxvvFX6cXx+sCSNSQk704pgPG2GTG2APGWNlhBP9FKOvHVfrNtKL9l6mrsjKVKaOy7fu79KqsjPipWpFMadnXjZfp35cZS0YYAbx6Z6w+SoDekUlEe4iokyFPIxGamaRMTEx09hljWsfLVfRvZt1Uhi3xb2KxGML4+Lv11dwqKud161IZGX0wVEbf/t+F8sb4P6GPEZXHXzX0z15M2eDF3+cvjssA1NeQqweg7KwVlQBjDM+ePcPTp08hlUqRk5MDKysrmJiYwNTUFLdu3YJcLodEItFadl4W5syZgz/++AOMMYwYMQLbtm0DY+p4LyJDJDg4mMfRBtRLz+VyOTZt2oTVq1cjMDAQUVFR8PT05DJbt25FZmYmAPXc/61btwAYPq+6d+9ePq2wdOlSREZG6qyqnTx5MlQqFRhTx9YpvTKWMYbZs2djw4YNiI2Nxfnz57FixQqduXMAWLduHc/IJSaxFiGu0jx79iwPj5Camqols379eqSlpeHChQuYNWsWAPD2i7ocPnwYWVlZYIzphAEQZU6ePInly5eDMfXK3ytXrmjp++zZM5w5cwZLlizhISf27t2rVY6YIGXlypXw9/cHACxevFhLRvw/IiICn3/+Oa9fU5eFCxfi4cOHiI6OxmeffYYff/xRR8bf3x8BAQFgjGH06NE6rCbGGO7evYtly5bxa7/77jstGfG+Ll26lMe4+f7777VkRF+DXC7H0aNHAbxcCITKorCwEGfPngWgZlgREcaNG8fbdPPmzb9NFyP+Ov6qoT8NYNyL/XEATmkc/5yp0Q1ATkXz84aCiFCrVi1ER0dDpVIhODgYPj4+KCkpQWFhISQSCWxsbFBcXFxmogdNtGjRAq1atQKgzuokJr0YPnw4dxrVr1+fOyoBdQq/goICDBkyBGZmZoiNjUWtWrVw584dLnP69Gnu6BLDCsybNw+DBw82qJ0BAQHcCFtbW6NevXqIjY3VknF3d+c/tC5duqBBgwY65UyePBkNGzbEs2fP0L59eyQmJmqdF15klqpXrx43kGICChHi8YCAAO5M1TTi4v+2trYICgriKeA0QzYQETp37oypU6cCAFxdXTFs2DCdh06zZs244/T06dP45ptvtKYpatWqhbp168LU1BQffPABAGjFIQLAMzXl5uZyiu3p06e1ZMSMUE+fPuXO5tKoU6cO3NzckJSUhDFjxuilTrZo0YI7rydOnMh10kTjxo21qL6lKbai0z8oKIi/nPj4+GjJxL3I3JWfn4+AgAAAeKmgZpWFqakprl69Cg8PD/Tv3x9bt27FlClTQEQoLCxEr169/jZdjHgJVETLAXAUQAqAYqjf2CcCcICabRP14q89/Y9euQNADIAQAJ0Mof7AQHrlqlWraOfOnZSSkkI7d+7kVMuLFy/Ss2fPSCaTUUREBKWkpFRIr9y3bx91796diIhGjx5Nffv2JSKiPn360IoVK4iI6K233qIePXrw/QEDBhCRmt62du1aEgSB3nrrLQoICOAyubm5JAhqSmVhYSGFh4fTO++8QydOnDCILlVSUkJvvvkmEalpez169KCioiItmd69e3OZ3r17U48ePbTOi8fd3d25fOn6RZl58+ZxmdOnT2vJJCQkaFFD+/TpQyqVSksmKiqKevXqRQqFgn744Qfq06ePTj2tW7emjh07EhHR7NmzdSiERERt27al2bNnExFRt27dqEmTJloy2dnZ1K5dO/Lw8CBBEOjatWtERDr916dPH9q3bx+pVCrq06cPRUdHa5339fWlPn36kFKppNmzZ1OfPn10yvHx8aEePXpQSUkJTZ06lbp27apTT+/evfn4mTBhAnXv3l1H5q233qLz58/zsZGdna1X3+vXr5NKpaI333xTR0Zsh7j/1ltvUU5OjkFjSaVS0ZgxY0gQBFIqlXTz5k0SBIHy8vIoKyuLBEGgbdu28fvbpk0bevToEQmCQNWrV6fs7GxKS0ujN998k9avX08PHz6kXr160dWrV0kQBE4ffkHz4+PUzMyM96m1tTUJgprOyxgjQRCosLCQzM3N+bUi7bS4uJh27Njxj1MWq9IGA+mVxlg3RhhhhBFVFMZYN0YYYYQRRgCoYoZeM76NpaUlj8WuuW9mZmZk3bwimdLH/m0slpdtk5F1Y8T/F1QZQ88YQ2RkJEJDQyGVSpGeng4TExOYm5vDxMQE9+/fR35+Ph48eIA//vijwvI++eQTHDlyBIwxuLm5cQfniBEj4OHhAcYYrl27psW4mDlzJhQKBcaPH4+FCxciOjoa9+7d08og9csvv/AVhSIbxtPTkzsKK4Kfnx9n3SxcuBC3bt3CkydPtGTatWvHWTebNm3iSTY0+6pbt26YO3cuUlNTsWfPHp3EGCLmz5+PpKQkAGq2iia8vb0BqJkVojO3dNyd7du3IyEhAXfv3sWwYcMAQCf5yLhx4xAdHQ3GGAYNGqQ35viMGTPw9ddfgzGGsLAwbN68Wet8Tk4OFi5ciCVLliA8PBzx8fE6q1FFR/HSpUsRGhoKADrTfnPmzAGgdnK2adOG95cmpk2bBj8/PyQmJqJFixY89pEmfv75Z/z2229gjKFp06Z6szadOnUK3333Hb+2dCyhuBeO1tWrV3N21qFDh7RkRAd5QUEBZxKJ7BsjjDAUVcbQExEcHBwQExMDlUoFR0dHZGVlQalUIj8/H3Z2dpBKpahfv75BrJvu3btzps22bdv4UvEVK1bwDFOtW7fGRx99xK+ZOXMmNzh16tRBYGAgGjdujOvXr3OZn376Cenp6QDU1LgLFy5g165dOka0LBw7dkyLddOuXTu+LF2EmAIRAD7++GN07dpVxxDt2LEDb7/9NmJiYjBw4EA8f/5cS0ZMztKlSxdOrxQNjwgxwNbVq1e54RSzZ4mIiYlBrVq1cPPmTfTt2xcAtB5qjDEsWrQI9eurWbdDhw7FqFGjdN5SZ82aBTs7OwBqJtDYsWO1ZJ4/f47JkyfDzMwMt2/fRs2aNXkwORHiA0sQBH5PDh8+rKWvo6MjALUBXbJkCUqDMYaGDRuiV69eePr0Kb777jv+cNCUeeedd3h7N2zYgK+++kpHpnv37lpZu0o/4MQkH4GBgZxtIz5cRYhhC+RyOadgln4YlAdDvsg09w35Ov279o14hTDEY/u6NxjIuvH29qadO3dSUlIS/fjjj3Tw4EGSyWR048YNSk5OpuTkZNq7dy9du3atQtbNtWvXaOrUqSQIAm3cuJHWr19PgiDQtGnT6NKlSyQIAn388cc0Y8YMEgSBevbsSZs2bSIiosmTJ5O/vz8REQ0dOpTy8vJIEATq1q0biRAZGYIg0NChQ8nLy8sgLzoR0bvvvkuCIFB4eDiNHTtWhxUyf/58GjBgAAmCQGPHjqVx48bplDF37lw6fvw4ERF98sknFBMToyPTvXt3+v333/l+6cBccrmct6N0m8QtIyODPv74YyIiunjxol6ZyZMn04gRI0gQBDp79izNmjVLp91ffvkl3b59mwRBoMGDB9OcOXN09P3iiy/owYMHRKQOBKav77p3706PHz8uU99Hjx7x4/v379fLlnnw4AFNnDiRiNSB6Tw9PXVkRo8eTZMmTSJBEGj79u30zTff6MiMGDGCUlNTSRDUDJzSuog6ikHeevbsWaaMCH3llLWpVCr68ccfSRDUbC5xDBQVFXGmzfXr10mpVJIgCLRy5UqSyWQkCAKNHDmSy1y4cIHLLFmyhNc/cuRIXtfQoUOpuLiYBEGgQYMGcX3F+65SqWjIkCEkCGp2zcCBA/m13377LdfR39//H2eyVKUNRtZN2TCybowwwoj/AoysGyOMMMIIIwBUMUNfOquUkXXz32Hd6LumonLKuu5Vsm7Kq8sII6oKqpShz8/PR0pKCqRSKTIyMmBqagrGGIqLi3H69Gnk5+cjPj5eJzaMPnh5eUEmk4Exhp9//hmBgYFgTB2fZP/+/WCM4fnz50hISOA/9Dt37uD58+d48OABdu/ejdOnTyMjIwPTp0/nMvPmzePhAs6ePWsw20bEnDlzOOvmu+++Q0ZGhg6L6Pz58xAEAYwxREVF6ThaGWO4fPkyfv31V9y/fx+xsbE8jowI0Rl77Ngxzvj4+uuvtepZtEidZmD//v3cuRkfH68l8/XXX6OgoAA///wzj8GiGQ+HMYb79+8jLy8PjDGkp6fzpf+akEgk/L6ZmZnh6NGjWvrGxcUhJCQEmzZtQk5ODogIW7du1SpDdFqvW7cOBw8eBACMGTNGS0aMtRMQEMAdn6X7bt26dXj27BkeP36s5Yw3woiqiipl6K2srHDx4kWoVCpYWFhw6plKpYKLiwtsbGwQFBSEiIiICsuytbXlyQ/q16/Pk5U4OjqioKAAgNrg2NjY8GuqV6/O2T9yuRxFRUUwMzPTYsUEBwdzI5qSkgJ7e3sUFxcbHOsmLy+P+w9E+qjI4hFRr149vm9jY8O/ZjRRp04dEBFKSkpgbW3NGSmloVKpeMKIp0+fap0TY8/ExcWhqKgIAHjfaF4vkUiQmJjIYwSVTjdYs2ZNmJiYAPhfrJnSkEqlmDVrFhISElBcXIw+ffro1FOjRg1kZmaievXqUCqVcHd315EBgPT0dK5nUFCQloz4RZiVlaWTREWEpaUlLC0tkZ2dDT8/P04NNcKIKgtDPLave4MBrJvExETy8PAgd3d3Sk5OJg8PD/L09CSZTEa//fYbpaSkUFxcHE2fPp38/f0rZN3s3buXGjduTIIg0JAhQ2jYsGEkCALVq1ePx9swNTXlqegA0KhRo4iIqHbt2rR//34iIpJIJJSRkcFlRJTeLywsNMiLLsqLjAgHBwcdlkWrVq24TPXq1al27do6ZTRr1ow8PT2JiMjW1pYCAgL01rNy5Uq+HxwcrCWTlpamt02aMomJiSSVSomIaPv27XplnJ2dydTUlIiILC0tdWTEshs2bEjR0dEEgLp3704lJSVaMjVr1qRff/2V3nnnHQKgw3QRyxHTHurTxc/Pjx+fOnWqXpnffvuN6tWrR0RExcXFemWqwqZSqTizTKlU8jGQn5/PY+rs3buXFAoFCYKaGRQSEkKCIJCDgwOPqbN161Y+fjt06MD7wt7entdlbm7OY91YWFhwGTs7u3+8H/7LG4ysm7JhZN0YYYQR/wUYWTdGGGGEEUYAqGKG/smTJ3xePiQkhDvvHj9+zGOnJyUl6SzB1wfGGNauXQsAuHLlCl/BePfuXT7nvn//fj7Xu379er2hBjSTX2gud9eUuXjxIt8XV5hqIjY2FpcvX+Yy+nwM6enp3En8xx9/6DgiAXVyjt9//x2MMZw4cULH6ckYw8aNG3kyCy8vLxw8eBAJCQnw8vLiTt7SyS8qwrp163Tm5V8GGzZs4MmoDUFwcDDPAXDp0iW98+nr1q3TWXXq4+ODGzdulFs2Y/9LlnL58mVs3boVYWFh8PHxwdGjRxEcHIxt27Zhw4YNAIDNmzcbPJ/v5+eHDRs2ID8/H9u3b4eXlxfOnj2LkpISrF27FomJifj111/h5eWFoqIi3LlzB9u3b8eVK1ewZcsW3L9/H1u2bMHWrVvh5eXFfRQisrKycODAAeTk5GDjxo3w8vKCIAjw8vLiJIatW7ciLi4OaWlpXAdN/e/cuYMtW7ZAJpPhwIED2LRpEw4fPsyd1o8ePeLj5+zZs2CMYf369WCMYdu2bRAEAbt378bWrVuxceNGo6/jH0KVMvSOjo6wtraGVCpFo0aN0LNnT5iamqJv375ISEhAQUEBFAqFTmyYsvD555+DMYaSkhLMmzcPjDE8evQI586dA2MMzZo1Q2pqKhj7X9wZTSQkJKB169acjrdkyRKsW7dOSyYuLg4PHjwAYwwBAQE4duyYjh6BgYG87Fu3buHkyZMA1P4T8eFy8OBBODmpU/OePHkSM2fOBGMM9+7d45myVq1aBYlEfUvfeOMNzprRxFdffQWZTAZBEDB//nwkJCQgPz8f8+fPR2JiIiQSCQ8BYQjEfrKwsEBQUBDc3d0hl8uxdOlSruPq1avx22+/ISYmBrNnz8a6detQXFwMDw8P7N27lxuHqVOnQhAE9OjRw6CHtYirV6/C1tYWubm53KG8evVqzJw5E/n5+Th+/DgA9ZSdTCaDu7s7iAjDhw/HqVOnyisaAHgGMSLCzJkz4eLigv79+2PkyJFo27YtsrOzMXv2bADQcRCXBxcXFyxYsABz5sxB3bp1MW/ePKSlpWHixIlYvHgx/Pz80LhxY/Tv3x8lJSXo0aMHsrKy0K9fP8hkMnTs2BGNGjWCQqHA22+/rWXoGWPYsmULRo4ciYKCAsyZMwfz58+HVCpFjx498Ntvv8HMzAwtWrTA3r17UVxczMeEJt544w20b98eW7duRYMGDTB37lwey2nRokVISEhAvXr1MHv2bCgUCkyZMgULFy5Es2bNEB0dDV9fXyQmJiIvLw9fffVVpV8ijHg1qFKGXiaTIT8/HyqVCnZ2digoKIBEIkFeXh4cHR2hVCpRo0YNzvCoCHK5HESEOnXq8EBR7du357FySsfMad++PbKysrBv3z7s3r1bi60jIjAwEGlpafD29sbDhw/RoEEDzljp0qNfsmsAACAASURBVKWLXj1GjBjB32B79OjBjzPG0K9fPwBqA92+fXsAwKxZs3DkyBGoVCp07doVb731FgCgbdu2PONPamoqdu/ezcsB/pc+cOjQoZBIJJDJZJg0aRKaN2+OAwcO4LPPPgOgprGWRmhoKLy9vZGSopswTJS3sbFBx44dUVxcjFatWqFdu3ZQKpVwdXXFxx9/DDc3N7Ru3RoPHz5ESUkJunfvDjMzMyiVStSrVw+7du3i97M0UlJSsG/fPuzZs0fnnNiuatWqcXZR+/btsX37dixZsgSjRo3CokWLMGDAAFy8eBHbt2/n8WKEF5m2NLF//37s27dPJ7PXe++9B8YYqlWrhuLiYm5Y8/PzYWZmVmbfCYKAffv26cSoKSkpwZo1azBz5kwUFBSAiPDFF1+gRo0aICJMmTIFBQUFkEqlsLGxARFxuXnz5uHAgQP48MMPUVBQAFNTU84oEvtkxYoVMDU1hZOTE0xMTPjXaZ8+fTBlyhQAwK+//go3NzfUqVMHeXl5KCoq0vJflZSUwMfHBx06dIBCoUBxcTGmTZvGz4spFA8ePMjjT4ntAIAOHTpAEAQoFAoA0OlTI/4eVClnbHp6OgRBgJOTE9LT08EYg4ODA54/fw4TExPY29sjMzMTNjY2/IenD3Xr1gWgDtBlZ2eH0NBQKBQKdOvWDREREahduzbs7e1x7949MMbQuXNnBAQEwMTEBB06dODlZGdnIyoqCqampmjfvj3u3r2Lbt26af1QsrOzebCwmjVrIj09Hba2tnBzc+MyIgWwQ4cOiI+PR2ZmJjp06AAiQmpqKmrXro24uDjk5eWhTZs2uHXrFszNzdGxY0dkZGRAEAQ4OjoiOTkZ+fn5cHFx4dNPbdu2RXp6On9oZWRkcIrj8+fP+VeC5vEzZ84YTAdljMHX1xcDBw5EcHAwioqK0KVLF8TFxSE9PR0dOnTAo0ePUFxczIOvKZVKmJqaIjY2FhkZGejYsSMePXoEa2trNG3aFPfu3UOjRo0MCk4HqHOozpkzh/d1UVERbGxs4OrqipCQEFhbWyM/Px9169aFmZkZ4uLi0LFjR0ilUsyfP59Pu5TVPkBtOCMjI5Gbm4suXbogPDwcSqUSjRo1QkxMDIqLi9GlSxcQESQSiUHO/tjYWDg5OUEulyM1NRUqlQrm5uZo2bIlHjx4gE6dOiEqKgpyuRytWrVCeno6H7MNGjRAXl4ebG1tERgYCEEQ0LZtW5iamvLyHz9+jMLCQnTr1g3BwcHIz8+HVCoFEUEqlcLCwgJFRUVwdXWFRCJBVFQUlEolunXrxstITk7Gs2fP0KBBAyQnJ0OhUIAxhg4dOuDBgwc4f/48Zs+ejYiICHTu3BlSqRQBAQHo2rUr7t+/j4YNG0Lxf+2daXgUxdaA35qZrIRs14XNKyigoiKCgCAqohdkR5TFT+GKKAKuiCgYQVZBRAQRCFvYQRAEMcouoGFTQGQTBBQIJIQQIAkJ2WbO92Omy5nMJJkokOCd93nmSaX7dNfp6pqa7lOnzrl0iTNnzmCz2ahTp47PfHMZ8XYy9poa6C8XhtdNYmIi5cuXv6zn/idg/LgUR/7GG2+8bF/g4tafnZ2Nn5+fNlt5y/nz5/H399frKTyhlOLUqVNUqFDBq3MmJSUV6J//T6Vbt248//zzPPjggyWtyv8c3g703tk4/mFkZWWRnp6On5+f22IkH/aFWsVpF4vF4han/mrW/3e4dOmSNisUhL+/v9f6GLkS/skkJydz/PhxduzYwdGjRwG7uSsmJoaIiAi3FdY+Sp5raqA3bKJmsxmr1YqIYLFYyMvLw2QyYTKZsFqtXse6ycjIIDg4mLy8PMxmM0opHVpAKUV2djaBgYGI2DPe+/n5uZzbZDJx6dIlbRvNzMykbNmyLpNiJpOJ3NxczGYzZrOZvLw8j0++ht7GNeSXca7LZrORk5PjtiLW2SySm5uLv7+/iwnBZDKRmZlJQEAAZrNZ23/9/PzIysrCYrHg7+9PRkYGQUFBXtwRO5cuXSqWfFFkZWURFBTk9VoHcYSMADxet6GjyWRysWN78yZg9JOQkBCysrKw2WwEBASQk5ODiGg9jXucm5uLUorAwEA9hyQi2kySXyY3N9frOaWrTUJCAvv37+fo0aN6QC+K8+fP069fPzp16sR99xX5oOnjKnFNTcb6+/uTlpaG2WzmyJEjpKSkYDabSUtLY8eOHVrOm4HeYrFol8zw8HDGjRtHUFAQZ86cYcmSJQQHB5OSksKxY8fw9/fn8OHDjBkzRg8WAQEBmEwmkpOTsVgshISEEBERwQsvvKBlLBYLJpOJMWPGYDabsVgs2qXTmfDwcO2t4+/vz9ixYwH7cv133nkHpRSRkZFMmTIFi8XC3Llz+de//kWZMmUYN24cQ4cOJTg4mE2bNulBJCwsTE+UGdhsNoKCgvTAFhISwtChQ/H39yciIoLt27djs9lYsWKFm45ms1lfszMmk4lvv/0WsCc7ueeee4iPj6d27drUrFmTwMBAatSowQsvvMDGjRu54YYbePzxxxERndglMDCQu+++m4oVK5Kdnc2WLVvcnoqd2z0/RkKP5ORkmjRpgr+/Pw0bNuT222/n559/ZtCgQdSpU4dRo0axYMECqlevTkZGBqGhoQwaNMjtfEY9ZrMZf39/QkNDERFmzpxJQEAAoaGhfPHFF2zevJkzZ84gIoSEhGCz2Rg+fDgVKlTAZrOxb98+ypQpQ3h4OGazmalTp+rJTcN8OHLkSBe7unP9V/IH4ODBg6xcuZJ+/foV+Pnkk09Ys2aN14O8QVBQkG+QL2WUzkeJAlizZg1NmzbFZrNRrVo1rFYrFouFChUqaG8HEcHPz8/Np7gg/Pz8ePvttxk/fjznz59n7969pKamYrPZsFgs+vPQQw+RmZmJUorg4GAA/aMTFBREbm4uoaGhVK1aFZPJRHBwMFlZWeTk5ODv709QUBDZ2dn6S2x44oDds8Hf31+/URiDWV5eHs899xwiwrZt2+jUqRMmk4k+ffpgNpu5dOkSbdu21R4gv/76K35+fjz44IO89NJLzJw5kwsXLnDkyBGqVauGiOinUZvNxv79+/nwww/Jycnh008/pU+fPgW2m5+fH0FBQWRkZBTo496xY0cGDx7Mjz/+SGxsLPfccw8pKSmMGTOGLl26kJKSwk8//cSMGTMIDQ1l/fr13HnnnaSkpPDBBx/QoUOHAv3xzWazbnfntnOmXLlyPPXUU5QpU4ZRo0bRrFkzBgwYwJgxY5g8eTKpqamMHTuWhIQE5s+fT8eOHT2eJygoCKWUW1yfsmXLsm7dOjp06EDNmjVp0qQJycnJbNu2jebNm2O1WqlWrRonTpzQ8XKCgoJIS0vj2Wef5YsvvtCujr///juhoaEe6w8MDMRkMpGdna3jDRWHhIQEVqxY4TJAG+6h+cveEhERQWRkpMd9586d08H7fO6TpZNrZqA3Xn/XrVtHkyZN2Lp1KyaTiQYNGrBx40aCg4O5/vrr2bZtG2az2auJIcMb49KlS3Ts2JHp06fzyy+/8Mgjj5CXl6fT/02cOJFu3boRHh5O/fr1dafet28fU6ZMISwsjA8++ID27duzcOFC0tLStMwvv/zCqVOn6NOnD3Xq1CEhIYHo6Gi6deum9Xj99de1W9u8efP4448/9I9HQkICNWrUYOvWrcTHx/Pee+/Rrl07IiIi+Pjjjzlz5gw5OTlUr16dSpUqsXfvXqpXr05AQABvvvkmgwYNIikpierVqyMixMXF6aet8+fPa/fChg0b6i+/JzNMVlZWgYNwcHAwJpOJSZMmkZycTHR0NLNnz+aDDz5g8uTJrF27lhUrVjBt2jRuueUW+vTpQ3p6OitXrmTIkCFER0fz3XffcerUKXr37q0HdGdyc3MLjASqlMJkMrF3715OnjxJp06dqFKlCtWrV+fMmTOMGDGCo0eP0qpVK+69916ee+45PvroIz2g5ufChQu6HBAQQEhICGlpafz8889ER0czceJEduzYwdSpU5k4cSKJiYl06NCBTp06sWfPHnbs2MHkyZOJjo4mNjaWAQMG8O6775KTk8PatWv55ptv9IIiT2+fqampHq/TWypUqEDPnj3/1jmKQ79+/bj99tvp3r37VavTR/H4n/S6iYyMJC0tjZCQEI8+2//rFLddQkJCyMzM9OiT/lfrz8jI8Pqp08/PD5vN5vVbnIExx1HUqt4r2U+CgoKKnAwuzSQnJ+s8vD6uPuXKlfN53RSEc6IST0+P+Snuq+7FixddwhsXxYULF9wWXpU03rTL35G/2ucrjIJMKM5cSX2M8M7XIsY6DB+lm2tqMnbp0qV6yfqMGTP0ZGN0dDRbtmzBYrGwZMkSzp07V5JqFmuQB3ucewOlVKF+3WB/VfYUSsH5HM2aNdPxcwqSMZlMvP/++4XWtW/fvkL94zdu3Ki9dgrCZrNpm3NhuvznP/8pNHNU27Zt3eINeTrP1q1bC5SJiIjglltuKXD/yZMn8fPz055LBdGgQQNuu+02FzOPM1lZWZQpU8YtbIYzrVu3xmKxcNdddxUoExMTg8VioWXLlsVep5CWlsYdd9wB2BfBGfNYbdu21RPuL730ErGxsYD9PrVq1QqlFGazWS+cysrKIjAwkI8//hiTycTw4cN1WxseaiaTif3799O6dWu9KMrwNEtLS2Pv3r2YTCZiY2OJjIzUJiuLxaI93m6//XYsFguPPvposa7TR9FcUwP9k08+SePGjTGbzXTu3Jl+/frh5+dHVFQUZcqUITc3l6eeespjBqOrSXG/kM524hdffJGMjIxCzzFy5Ei3TE/OiAirVq3iwIEDhdZreIsURFZWFitXriz0HIZ7q6fkJwavvfaangguSA8RoWXLlgW+OcXHx/Phhx/qTFeeOHbsGCKig7Z5Yvfu3YwfP77A9r3pppuYMWMGKSkpbNmyxaNMVlYW27Zt49ChQ0RERHiUCQwMZPHixSQnJxf44DFs2DDGjBmjA+p5onv37vzyyy/ExsYW663SiHXz008/oZSiZcuW5OTkoJRi2bJlHD9+HKUUU6dOZevWrSilePHFF/X12Gw2tm/fTk5ODtOnTyc7O1tnP3vuuecA+32bNGkSv/76KyLC8uXLiY2N1SuNjaBmQ4cOZdeuXYgIzZs3p0GDBthsNkaOHMnYsWMZMGAAYI+dM2LEiEJ/zH38Na6pgX7lypWEhoZitVopW7YsOTk5mEwm0tLSdIybb7755oq4dhVn8C7uG0VSUpIue2NnNtw2C0IpxYABA3SgrcJ45JFHCtwXFBTE22+/XejxDz74IDabrcB5FCNKIrhepyeM+CueuHjxIqGhoYWGRbj55puBwt1rn3rqKdq2bVvoU39GRgZhYWEcOnTI4/6i8tY6U9CPG9gHyj59+hR5jttvv/0vrTo+e/as7ieGey/Yo4MaP76AXh0eExPj8jZ56NAhkpKSsFqtjB8/XrfrTTfd5HINt99+uy6PHz+eRx99lGbNmuk5m7vvvltPMFssFl1vTk4OVquVESNG6OM9BeLz8fe5piZjDTtpZmamXqiSlZVFcHAwNpuN3NxcAgICsFqtBZoJoPiJR/6KO1pxcF7w4019+YOUFbS/MBlvzlOcui5HPUW18eXUtyCZ/APqlbxub+6TN/V4U//lLHty08x/LQX9MHlbjw/vuGyJR5RSNymlNiilflVK7VdKve7YHqmUWquUOuz4G+HYrpRSnyqljiil9iilahdeg/dkZmZq3+ZLly5pu3BmZiZZWVlYrVYyMzMLHeSvBsX1/sjvrVJURzdMHUXt/7vnKU5dl6Oeoric+hYk47z/Sl/35arHm2MvZ9n5/AVdS/52LG49Pi4v3phu8oC+InIHcD/wslKqBtAfWC8i1YD1jv8BmgPVHJ8ewOTLrvVVpridz5uVuX9H3ocPHz6KQ5EDvYgkisguRzkd+BWoCLQFZjvEZgPtHOW2wByxsw0IV0pdlhCRu3fvZs+ePYA9801cXBwAcXFx/P777yil+P3330lOTi7yXOfOnePjjz8G4OjRozoe/erVq/Vk3vjx47XZqGfPnixevFiH5f3ll19QSjFmzBj9BtG9e3fthfDiiy/q8oIFC/7S9Sql6N27d6HHG4uMnP28lVJs3bpVZ5saNmyYzsDkzAsvvEBcXBxKKXr06OEWdkBEXK7DOZuWM3v27GH79u188803HvfHxsbqUAOHDx9m/PjxbjLLly/Xk8cjR45kwoQJbm2xZMkSfvvtN31N+c0DxnX88ccfKKV46aWX3GQyMjLo0aMHSini4+M9LixKT0/nww8/RCnF8ePHmT59upvM1KlTee+99wB7VjJPpgpjARmgk7Dk17dnz55cuHBBlwuSMbYPGDDgb0cJjY6O9pjp7EpiLBQE+73u0aMHYL8+52QnhU2U+/jrFGsyVilVGbgX2A7cKCKJYP8xAAyH2opAvNNhJx3b/ja1a9fm+uuvRylFQkIC58+f15OxR48e1V4kp0+fLvJcS5cu1YNYUlISDRs2RCnFbbfdxu7du1FK6fCrSimmTJlC7dq1SUhI4K677iIuLo7PP/+cXr160bFjR5RSxMTE0Lp1a/744w+mT5/OrFmzAPuklredd9OmTSxatAilFCtWrKBhw4Zuq3xnzJih07m9+uqrNGzY0MUXW8QeR8ZIkzdo0CA3T4a8vDxmzJhBUlIS69evZ9q0aURFRbnI9O3bl+nTpzN8+HAAjytT27Vrx4IFC9iyZQv9+/cnOjraJcOXUoq7776b9957D6UUs2bNYvny5S7nUEpRp04dVq9ejVKK119/nWeffdalzX777TcaNmzI0qVLmTZtGv369ePhhx92kdmzZw/Tpk1j1qxZfPbZZ0ydOpX69eu71BUdHc20adNYu3atXtmcf35k5syZvPLKK/zwww8cPnyYtm3but2/smXL6geNBg0auLUL2CezjYeGzz77zGOEz0OHDmmZpKQkj5EvDx06pL2JvJm8LYpevXrp+EBXi4oVK2qz6xNPPOESh8nIwDZ48ODLmpLSx594PdArpUKApcAbIlJYnjdPI5qb7UMp1UMptUMptcODvKf6+f7777n11lsxm820bduWBg0aYLFY6Ny5MzVq1ODcuXMEBwfrLEOF4e/vz6ZNmwB7+j7jafXnn3/W6eguXrzI2rVr9TGzZs0iIiKCvXv3cubMGRo0aEBmZqZL5qgnnnhCxyM3/KOd/eSLon379jocQcuWLenSpQv//ve/XdrhhRdeoH79+ogIzZo1o0uXLi7mJaUUv/32G1arlcOHD/PJJ5/wxBNPuNRjmIt2796t9axUqZKLTLNmzQC0P3VYWJjbgHf+/Hn69u2LyWQiJCSEXr16uWQREhH27t2rM1PdeuutOvets8zBgwe1T3pubi5fffWVyzWVK1dOJ8YwPIWaNm3qImO0k+GTD9CmTRsXfQ2PkcqVK+v8w/m5/vrr2blzJ5UqVWL//v1uuWYNd8VRo0YV6vffoUMHLXPs2DG3WDFz5sxh48aNvP/++zzzzDMsX76czp07u8hMmzaNjRs3kpSUxH333VesmPsiooPlWa1WDhw4gFKKRo0aMWnSJAC++uor7RXVo0cPfe9q1qypB+ZFixZpGSP9Jti9aQxuu+02HZencuXKHmXCw8NRSvHggw9q3/lOnTrpN8EhQ4aU2kie1zpeed0opfyAWGC1iIx1bDsENBaRRIdpZqOI3KaUmuIoL8wvV8j5vfK6McLEGgHDREQvIVdKERQUpMPwFvaFMKIkZmRkEBERQXp6OkopQkJCOH/+PGXKlNExyM1mMxERESQlJRESEkKZMmV0FquAgACdpUnEng3KcFUzkppcunSJixcvIiJeLRXPzc0lLS2NsLAwUlNTycvLIzIy0iXCYWJiIv7+/oSHh3Pu3DlsNptLsgvjLSUkJASl7GF2AwIC3FZgnj59moiICAIDA0lMTHRLHqKU0teRk5NDamoqkZGRLm2bl5dHWloaSin8/PzIyMigXLlyLgOwoeN1111HRkYG6enpbolFzp07R9myZfHz8yM5ORk/Pz+X1cJKKRcZ53bPr+91112Hn5+f1t1ZJi8vj7Nnz1KuXDkyMzNJS0tz08W4psjISDIyMsjLy3P7sT5z5gxms5nrrruOpKQkRMQt4YhzBq8zZ84QHh7ukvnMuX2N+5G/7ZxljD4WHh5e6LoFZ5xDSBshuM+fP4/VatXpNw2d0tPTKVOmDCaTySXjWE5ODgEBAYgI6enpuh85yzhnMfOU0SwlJQURISIiQvdro22MMApGvzXKPormsmWYUvYWnw2cE5E3nLZ/BKSIyCilVH8gUkTeVkq1BF4BWgD1gU9FxHOy1D/PVSIZpnz48OHjWuZyZph6AOgC7FVK7XZsexcYBSxWSnUHTgAdHPu+xT7IHwEygW748OHDh48SwxuvmzgRUSJSU0RqOT7fikiKiDwqItUcf8855EVEXhaRW0XkbhHxygbvDQsXLtSeLzExMcycOROlFLNnz2bVqlWGvgWuaHRm1apV1KhRA6UUI0eOpEmTJiilePrppxk5ciRKKe677z7uuusulFKEh4fz+OOPa9ur8ZZx7733attn2bJl9ZuC8ap/6dIlwsLCdILwojh16hQ33HCD9ugJDw93i7nSu3dvLfPTTz+5ZbUyvE+6du3KihUriIyMpHHjxm5mmbCwMF566SX9Sp1/wnbv3r2EhYWRl5eH1WqlcePGbvr+/PPPlCtXDqvVyvDhwz3a8Tt27Ej58uVRSjFv3jyXOQdDl/bt2zNy5EjAHuStZs2aLjJ5eXm0adOGTz75hNTUVMqWLetmY8/LyyM8PJzo6GiUUtx8881uAcvWrFlDeHg4IkJkZKTWy1mXb775hkqVKiEivPXWWy7Jsg0efPBBbrvtNpRSjB07lgceeMBNpkGDBmzZsgWlFNddd53H6J7h4eHs3LkTESE8PLxAGeVYnFTQeTwxefJkbf7Kzc0lMjJS9+XQ0FCUUtSrV4/58+ejlCIiIoKsrCxdjoqKIjs7m6ZNmzJz5kzAbpYxvLAM8xfY53PCwsJ4/vnnKV++PL169eLEiRO6rX2ULNdUCIRnn31WD8j33nsvDz30ECaTicaNG+ssQHFxcV75pZ86dYoff/wRgEcffZTZs+2eoqNHj9aTkhs3btRL5VNTU4mOjiYhIYFx48YREhLCwoUL2bx5M0OHDgXsk7edO3fm2LFjpKWlsWDBAoKDg0lLSys0nokzlSpV0hmmIiIimDJlilsGos8++0zHE1m+fDnTpk1zuWYRITo6mipVqtC2bVvOnz9P//793b5wMTExlC9fnoSEBGbNmqVdVw1q1qxJTEwMe/fuxWKx0KJFCzd9a9euzZAhQzhw4AADBw4kLS3NLezurFmztHtlly5deP755132iwizZs3SQbLmzZvnFprBz8+P2bNnY7VasdlsDBkyRIc8cJaJiYkhIyODhIQEJk2a5DYx36xZM2JiYkhMTOT8+fNu+0WEVq1a8dprr3HmzBlCQkJ46KGH3H4Mvv76a3bt2gVAvXr1WLZsmct5lFKsXr2auXPnAnZbddOmTV1kli9fTmpqKp999hl9+vQhNTXVbfL4888/JzU1lTNnztC7d29SUlLcJmwLIiwsTHsV9ezZk4kTJyIiXLhwgVatWgHQqVMn3QYbN27EZrNpmdDQUAIDA5k9ezapqalkZGToAGhg9/4KCgoiPT2dd999l507dzJz5kxOnTrFmDFj2LFjB7Nnzy403ISPq8M1NdCvW7dOT1zdc889VKhQAYvFwh133MFNN92EyWSiadOmXs3cZ2RkcPjwYQC2bNnCDz/8ANhd9Aw3uAsXLnDw4EF9TFxcHMHBwezbt4+0tDSqVKlCenq6y4BTq1YtHSisQoUKHD9+nN9//53WrVt7dY2TJ0/m2WefBeyJUdq0acPXX3/tInPq1Cm6dOkC2L1nnn76aZenfqUUp0+f5qabbkJEsFqtboOMEQDu+uuv548//qBdu3ZuMdfnzJnDU089pb0ijMxLzixYsIBu3bqxevVqRo8ezd69e10mCpVSZGVl6UBY33//Pc8995zbwGmz2UhLsztzvfrqq24xYhISEjCbzSQmJvLLL7/wxhtv8Mgjj7ic58SJEzz55JMcO3ZMR2Js27aty3m+/vprnnzySfbv34+I0L59e7fJz2+//ZZu3bpx+PBhatWq5TETVVJSkn5L27Fjh+4/zpw9e1ZPVgLUrVvXZb/xZlOuXDntuZU/TlOVKlUAu5eY4Spaq1Ytt7ryY7RLu3b25S0pKSn83//9n34aNx5sOnbsqCdjAwICCA4ORinF8OHD6d+/P0ePHiUsLIyDBw8SEhLikjCnVatW2t3zwQcfZPHixYgILVq0ICQkhG3bttGuXTsOHDiAiOg0mjabTce3Afjiiy8A+49sUYH4fPw1rqlYN0aHNBJgw5/JoG02m068bSThLoiKFf9065fLEPvDuWy0p1HO70boZXu4nTv/fk/1Fybjqe6izuNpvzcyl0PfKyWTf5untrlSunhzDwqSKUzfgvg71/pX+nv+7YXV703ZR9FczsnYUoNzrlLnJ1jn7SLiVZ5N5850Jct/pdMWdWxBdV5umatVz9WUyb/tn3LdRR1X0LFXs+8X9zw+Lh/XlOnGhw8fPnwUn2tqoJ87d66OSTN+/Hidcf6jjz5iw4YNiAgTJkzQS9ML48iRI9qzY+3atfzf//0fAG+99ZaObXLHHXdQu7Y9+KbJZNKrAl9++WXtqVC5cmW9ojN/xh3nsrd5QQ15sC8kqVSpkptdfNKkSVqmefPm2o7rzNixY3U8mCZNmuiJQ2dMJhMfffSRrjO/fdTIDJX/mpzJzc2lTJkyKKU4dOiQR5lXX31Ve3/s37/fZSWxwYsvvqhtteXLl6dhI9j/HQAAFctJREFUw4Zu7fLMM8/oxNqevDkMHdetW1egvqdPn9bbt2zZ4nFh3cmTJ6lWrRpK2Vdje5qEbtiwoc7etGHDBreVx2CfqDZWmnqqx9AxISGhQH099aX8Mj58FMU1NdB37dqVOnXqAGiXP0B7CRhmG29e/7777jt++OEHlLKv6DTSo/Xs2ZPs7GyUsgcGW79+vbYbDhgwgMTERN58801Onz7N4sWL2bNnD08++aSWefTRR3Wmo6lTp2pdvI1Q2b17d6xWK0opZsyYwaFDh/jyyy9dZBo1aqRlYmJi2LNnj9vkZrNmzbjzzjvZvHkzCxcuZPLkyS4yVqsVEaFSpUp89913iAgffPCBSz1vv/02IsJ7773HqlWrEBE376H33nuPc+fOMXLkSOLi4hARF1dSpRRvvPEGSUlJKKXYuXMnq1atctP33Xff5fDhwyilOHz4MF9//bWLzOHDhxk5ciTbt29nxowZJCQkcN9997nI7Nu3DxFhzZo1TJo0CRGhRo0aLvrOmzcPEWHlypWcPXvWbf5BKcXSpUvZtWsXGzduJCMjwy1kg1KKr776iu3bt6OUPbHKZ5995lKPUoq1a9fyzjvv6B+M/KxYsQIR4aWXXuKtt95CRNx+BL/44gtEhMTERF5//XVExKObqw8fhXHNDPSGu9qNN96IxWKhQ4cONG/eHIvFQu/evalevTqpqak0btzYKxt9WFiYdlFctWoVb731FmD/Yhmxbn744Qft233kyBEGDhzIjTfeyLJly0hJSaFVq1Zs3ryZrl27AnD8+HGGDh3Kv//9b06cOEGzZs345JNPOHHiBM8884xX1zlq1Cjt9lm/fn1mzpzpFjRr7ty5+q1l1apVTJs2ze3Hbd68eaxdu5a6deuydu1a7rzzThcZs9nMiRMn2Lp1K40aNeLEiRNu9bz00kscP36cZ555hsaNGxMfH+/m0vjf//5Xe7IEBAQQHx/vElJARFi2bJn+scrLy2PYsGFudtkVK1bogFZbt27l/fffd5GpUqUKsbGx+Pn58fTTT/Pjjz/yzjvvuMjcdtttnDhxgoiICLp27Up8fLwOyGZQs2ZNTpw4QZ06dThw4ADx8fEu+0WEqlWrMmnSJO6++2527tzplqlLRFi/fr2OwhkXF8drr73mJrNhwwad//TkyZNuaymaNm1KfHw87dq1Y+DAgfz222/6LdWgdevWxMfHExkZyZAhQ9i/f7/bNRWEiGjvrLy8PJ0aMTMzU2d8mjhxom73WrVqaRfb8PBw7QU1evRoPQ9WvXp1/aPnHBbCZDLpebPAwEAtY4RLsFqt+mEnJydHh2WAP+PhWK3Wqx5s7X+Fa8rrxugcly5d0i58WVlZBAUFYbPZyM7O1hmmSovXjVE2ZLxsj8vu8fFXZErSQ+VqXFNJ6+JJxlMf+TteKZ6O9aafFtdD5kqUfRTNP9LrxtnO7RzO1Hm7t9mlrqS3QWHl4uhW0t4cf8dro7TKlCZdLqdMQXg6tqT6/pX4rvjwjmvGdOPDhw8fPv4a18xAr5Ri06ZNfP/995hMJn788UcOHjyI2Wzm999/Z82aNSil+Pnnn72KdTNs2DCdEapJkya0bNkSpRStW7cmKioKpRT9+/fXqzjnzp1Lu3btsFqttG/fnsGDB5OamsrAgQP56quvUEqxaNEiDhw4QG5uLosWLdLZhTp37sy5c+e8us6jR48yadIklLIn6ejbt6/26jGoWbMmM2bMQClFx44dte3Vhw9PKGWP+96nTx+fx87/KNfMQC9i92gxYpvfcsst2mUtMjKSyMhILl265BLCoDDKly+vUwkOHjyYTz/9FIBx48ZRoUIFAPr376/nB7p27crIkSM5e/YsH3/8MWXLlmXNmjW8/fbb+tjOnTvz2muvkZCQQOfOnVm+fDmLFi1i/fr1Xk+gjRw5kl69egH2GOZDhw5lw4YNLjJz5szRrn2ffPKJ10GufPxvEhcXx4gRIy57uG8f1w7XzEBvuKg9++yzWCwWwsLCCA0NxWw2c/PNN1OhQgWCg4MpV64cERERRZ4vODiYNWvWAPacnxMnTgTsGZdOnjwJ2L0TnIM4TZs2jYiICPbt20dKSgqNGjUiJydHZzMC6Natm05AUbduXTp37szJkye1h09ROOcWrVGjBvv27XNzEdy6dav2M4+IiNBJHnz4cEbE7hJsZJTavHlzSavko4S4prxuvPEK8AYj8UhJeCF42R5/29PFhw/4s/9UrVqVgIAAHWDMxz+Df6TXzeWeqS8JL4Ti6FXQsT4vBR/eYvQPI3a/r7/8b3JNDfSGTd5ms+nFF1arFYvFgs1mw2azuZSLwpO/emFP8cZ2T+fIXy6OTGnwV/fGn7sg8rejM5d7YMlfR1FtWdC2y61TcdvL0KewPmPIFLeuwu6HM3/1Xns6z+Xir9zfws5RVDt46if59//VtTWF1XW1uWZs9GBftbp06VKUUsyfP59FixahlGLx4sV8++23nD17lsWLF7N06dIiz6WU0nFkWrVqRatWrVDKnj3KiBFTo0YNjh07hlL2RCctW7Z0OUdGRga33367vrE1a9Z0i2lz8eJFnnrqKZRSJCcnM2TIEDdd3nvvPZ1MIj4+Xq/GNfQEu5dQrVq1UErRqFEjateujVJKf8C+qrZu3boopbj//vvp16+f2zXXqVOHXr16kZeXR926dalRowYiQu3atfniiy/Iy8vzao7D+ZxhYWFcuHCBUaNGUbt2bSZMmMD9999PhQoVOHjwoIuOzjp7+hQkY2yvWrUqa9asoWLFirzwwgtu+x977DEd993Y5+/vT61atbhw4YLHev5u+fnnny+WN8uLL77IW2+9hVKKTz/91ON1NmvWTK/WNrbn5uYSFRVV5P0wVqYuWbKE+vXrM2vWLMLCwmjWrBmbN28mPDycypUro5TSWbK8ITk5mXr16tGhQwc+/fRTgoODueeeezy2jfM2b+61UR49ejR79uyhYcOGOsSFs0x0dDQPPfQQOTk5Ltudr79hw4bMnz+f9u3bk56ezr333kvfvn154IEHuOGGG3jmmWeoV68emzZtcjl2yZIl3HvvvQwYMIAxY8boLG41atSgdevWKKWoWLGi9oqLiIigXr16uh3btm2LUoo5c+ZQr1491qxZQ1hYGHfccYfHnAZXFREp8Q8gxueDDz6Q7du3y86dOyUnJ0c6dOggJ0+elJMnT0piYqIsWLBATp48KfPnz5epU6dKQkKCLFiwQObNmycnT56UU6dOyZYtW/Qxnj4Gv/76q9hsNhER6d69u4iI/PbbbzJhwgQRETl48KAcOXJEbDabdOvWTZ5++mlJTEyUAQMGyDvvvCM2m00OHDggzjRp0kROnDghUVFRsm7dOrHZbDJw4EAREbHZbBIVFSU2m83tM2DAAF0eMmSI2Gw2sVqt8s0334jNZpO8vDypU6eOiIg0bdpU+vfvLxcuXJC4uDhZt26diIisWLFCEhMT9TWNHTvWrR4Dm80mFy9elOnTp0tGRoa8//77Uq1aNbHZbDJ79my343744QeJiorS7eF8vnnz5onNZpNt27a5bJ8zZ46IiGzatEmysrIkOztbhg8fLhkZGZKRkSFHjx4VEZHY2FhJTk6WU6dOycGDB2X06NFy6623iohIXl6ezJ8/X5YuXSrZ2dnywAMPiM1mk9jYWH0tVqtVPvroIxERiY6OFhGRV199VURE6tWrJ+PHj5d33nlHEhMTpXbt2jJhwgSJiYmRDh06yOTJk0VEpFGjRiIikpCQIK+88ork5OTIl19+KY899ph8++23IiLyn//8R/r37y82m00GDx4sPXv2dLn3zu1itVrl3XfflbffflusVqvLvhEjRuhjoqKi9L3LysrS/WrAgAEiIjJy5EgREdm1a5fYbDa93/kTFRUlUVFRkpycLCIigwYNkrS0NJkzZ46+FwsXLpSsrCwREd22NptNDh486KZ7bm6uREVF6Ws1PsOGDXOR7dGjh9hsNlm1apWIiHzwwQfy3//+V0RE7rjjDqlUqZIsWrRIpk2bJn369JFOnTrJ5MmTZfz48TJlyhQREfn4448lIyNDsrOzZfz48TJ79mzZt2+fS7v27t1bUlNTRUSkb9++IiKSm5srK1askGPHjrnouG3bNhER2bNnj1y6dEnS09OlefPmcv78eWnevLmIiGzbtk2GDx8umzZtcjnWud9nZma63VsRkR07duhy69atpXv37pKUlCTNmjWTixcvyrlz5+TLL7/UMh06dHD5XlzuD7BDvBhjrynTzcyZM7nxxhsxm81kZmbq+BvZ2dm6nJ6eTpUqVVxyqBZGTk4OZcqU4bHHHgPglVde0R4txhPj999/T0pKCufOnePGG2/U2XF++ukn3nzzTapVq8bMmTNp1aoVS5YsITw8nGHDhgF2D5mYmBji4+Np3Lgxs2bNIjQ01OVpu3v37qxevZrhw4czbdo0pk2bxqBBg7DZbMTGxtK8eXOefPJJMjIy9PXu3r2b0NBQNm3axIULF2jSpAkbNmxg1KhRLF26lMqVK+usTgMHDmTQoEH4+fmxcuVKHn/8cQDmz59Pjx49uHDhArt27WL06NEFttMDDzzgMS+qM19//TUjRoygX79+jBs3jgMHDtClSxcGDx5MUFAQX375JUeOHOGJJ56gXLly1KhRg3vuuYe+ffsydOhQLBYLO3bsYN++fYSEhLBz504sFgsDBw4kLi6OFi1acPr0aX788UfeffddfvjhB5544gmCg4OZP38+nTp1YvTo0ezcuZOuXbvSpk0b6taty4gRI0hKSqJu3bo899xzrF69mtdee41Dhw6Rk5NDz549sdlstG7dmhUrVmCxWGjdujVTpkxh3759DB48GJvNRnp6Ort27UIpe+RLf39/lxguziilinSpXbx4MTExMezcuZNTp07xr3/9i88//5yMjAwWL17M448/TvPmzWnTpg0LFiwo8DxGX3OmbNmy5OXl6T65e/duJk+ezOjRo8nKyuLhhx/mq6++8ng+s9ns8ZxdunShRYsWBAYG8uWXX7Js2TLGjRvH/fffT5s2bVBK8frrr9OmTRtatmzJhAkTyMzMZO/evezatYvQ0FDmzJlDxYoVSUtLo379+owePZrKlStTs2ZNtmzZQlpaGsuWLdPJg5YtW8axY8f4+uuvadiwITExMRw8eJDY2Fg+/vhjAgMDWblypdaxfv36tGjRgscff5y7776b9u3b88033zBlyhQCAgKoWrUqTZs25f3336dLly6sWbNGm1SsVitt2rShXbt2REVFkZCQwMMPP0xYWBgWi4XTp0+TnZ1NlSpVqFChgg7wl5ubS9WqVfUbyb///W9atmzJhx9+yPbt27nzzjt5+eWXtWdfSXBNed0YKQLz8vKwWCyIiLbRG2VvMGLdlC9fnsTERL1dvLTBOentdmz+9vTGXldYPfntrd6U89fjrFdhZfgzibQR0KoolLInRT9+/DiRkZF/ScfCcNa/OMfmly/qeKOO4rSpUe7atStz58712gb74osvEhoaqnMDF6aj8/Xn5uYyZMiQQn9ADFOVEYG1qOuoVq0aR44c8Vr3/OfM33/+6v0qCG/vQVE6Fud7WFTdxaWgseFy4K3XTWkZ6NOBopezlgzXAWdLWgkP+PQqPqVVN59exae06na19bpZRK4vSqi0mG4OefOrVBIopXaURt18ehWf0qqbT6/iU1p1K616XVNeNz58+PDho/j4BnofPnz4+IdTWgb6qSWtQCGUVt18ehWf0qqbT6/iU1p1K5V6lYrJWB8+fPjwceUoLU/0Pnz48OHjClHiA71S6nGl1CGl1BGlVP+rXHeMUuqMUmqf07ZIpdRapdRhx98Ix3allPrUoecepVTtK6jXTUqpDUqpX5VS+5VSr5ci3QKVUj8qpX5x6DbEsb2KUmq7Q7dFSil/x/YAx/9HHPsrXyndHPWZlVI/K6ViS4teSqljSqm9SqndSqkdjm0lfi8d9YUrpZYopQ46+luDktZNKXWbo62MT5pS6o2S1stRVx9Hv9+nlFro+D6UeB8rEm+Wz16pD2AGjgK3AP7AL0CNq1j/Q0BtYJ/TttFAf0e5P/Cho9wCWAko4H5g+xXUqzxQ21EuC/wG1CgluikgxFH2A7Y76lwMdHZsjwZ6Ocq9gWhHuTOw6Arf0zeBBUCs4/8S1ws4BlyXb1uJ30tHfbOBFxxlfyC8tOjmqNMMnAZuLmm9gIrAH0CQU996rjT0sSJ1L6mKHRffAFjt9P8AYMBV1qEyrgP9IaC8o1weu48/wBTgaU9yV0HHr4D/lDbdgGBgF1Af+yIRS/77CqwGGjjKFoecukL6VALWA02AWMcXvzTodQz3gb7E7yUQ6hi4VGnTzamOpsDm0qAX9oE+Hoh09JlYoFlp6GNFfUradGM0nMFJx7aS5EYRSQRw/L3Bsb1EdHW87t2L/cm5VOjmMI/sBs4Aa7G/lV0QkTwP9WvdHPtTgX9dIdXGAW8DRozqf5USvQRYo5TaqZTq4dhWGu7lLUAyMNNh7pqulCpTSnQz6AwsdJRLVC8ROQWMAU4Aidj7zE5KRx8rlJIe6D0FkiitbkBXXVelVAiwFHhDRAoLPnNVdRMRq4jUwv4EXQ+4o5D6r4puSqlWwBkR2em8uaT1cvCAiNQGmgMvK6UeKkT2auplwW66nCwi9wIZ2E0iBXFV+5nD1t0G+KIoUQ/brkQfiwDaAlWACkAZ7Pe0oLpLzfhW0gP9SeAmp/8rAQklpItBklKqPIDj7xnH9quqq1LKD/sgP19EvixNuhmIyAVgI3a7aLhSygip4Vy/1s2xPww4dwXUeQBoo5Q6BnyO3XwzrhTohYgkOP6eAZZh/3EsDffyJHBSRLY7/l+CfeAvDbqBfRDdJSJJjv9LWq/HgD9EJFlEcoEvgYaUgj5WFCU90P8EVHPMWvtjf01bUcI6rQD+6yj/F7t93Nje1THDfz+QarxGXm6UUgqYAfwqIs4hDkuDbtcrpcId5SDsnf9XYAPwVAG6GTo/BXwnDqPl5UREBohIJRGpjL0ffSciz5S0XkqpMkqpskYZu815H6XgXorIaSBeKXWbY9OjwIHSoJuDp/nTbGPUX5J6nQDuV0oFO76jRnuVaB/zipKYGMg3wdECu1fJUSDqKte9ELutLRf7r2937Da09cBhx99Ih6wCJjr03AvcdwX1aoT9FW8PsNvxaVFKdKsJ/OzQbR8wyLH9FuBH4Aj2V+0Ax/ZAx/9HHPtvuQr3tTF/et2UqF6O+n9xfPYbfbw03EtHfbWAHY77uRyIKA26YZ/oTwHCnLaVBr2GAAcdfX8uEFDSfcybj29lrA8fPnz8wylp040PHz58+LjC+AZ6Hz58+PiH4xvoffjw4eMfjm+g9+HDh49/OL6B3ocPHz7+4fgGeh8+fPj4h+Mb6H348OHjH45voPfhw4ePfzj/D+WFpRp/0lPtAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import io\n",
    "from PIL import Image \n",
    "import matplotlib.pyplot as plt\n",
    "import cv2\n",
    "import numpy as np\n",
    "with open('1.png', mode='rb') as im:\n",
    "    img=im.read()\n",
    "    \n",
    "#bstream #point**********\n",
    "image=Image.open(io.BytesIO(img)) # 重点1 读取io流 重点2 转np\n",
    "\n",
    "print(type(image.convert(\"L\")))\n",
    "plt.imshow(image.convert(\"L\"))\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "ename": "AssertionError",
     "evalue": "none",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mAssertionError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-33-d28f1d1831a9>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[1;32massert\u001b[0m \u001b[1;36m1\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m \u001b[1;33m,\u001b[0m\u001b[1;34m\"none\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mAssertionError\u001b[0m: none"
     ]
    }
   ],
   "source": [
    "assert 1 is None ,\"none\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1.2999999523162842, 45.20000076293945, 52.35449981689453]"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f=np.float32('1.0235423')\n",
    "sf=str(float(f)).encode()\n",
    "\n",
    "a=np.array([1.3,45.2,52.354500064],dtype=np.float32)\n",
    "np.array2string(a).encode(\"ascii\")\n",
    "str(a)\n",
    "\n",
    "import pickle,json\n",
    "\n",
    "pa=pickle.dumps(a)\n",
    "spa=pa.decode(\"cp437\")\n",
    "jspa=json.dumps(spa)\n",
    "\n",
    "out=json.loads(jspa)\n",
    "out=spa.encode(\"cp437\")\n",
    "\n",
    "pa=pickle.loads(out)\n",
    "pa.tolist()"
   ]
  }
 ],
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